Related papers: Simulating Energy Transfer in Molecular Systems with Digital Quantum Computers

Simulating Energy Transfer in Molecular Systems with Digital Quantum Computers

URL: http://arxiv.org/abs/2101.06879v3
Date: Thu, 2 Dec 2021 20:33:11 GMT
Title: Simulating Energy Transfer in Molecular Systems with Digital Quantum Computers
Authors: Chee-Kong Lee, Jonathan Wei Zhong Lau, Liang Shi, Leong Chuan Kwek
Abstract summary: Quantum computers have the potential to simulate chemical systems beyond the capability of classical computers. We extend near-term quantum simulations of chemistry to time-dependent processes by simulating energy transfer in organic semiconducting molecules. Our approach opens up new opportunities for modeling quantum dynamics in chemical, biological and material systems with quantum computers.
Score: 8.271013526496906
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Quantum computers have the potential to simulate chemical systems beyond the capability of classical computers. Recent developments in hybrid quantum-classical approaches enable the determinations of the ground or low energy states of molecular systems. Here, we extend near-term quantum simulations of chemistry to time-dependent processes by simulating energy transfer in organic semiconducting molecules. We developed a multi-scale modeling workflow that combines conventional molecular dynamics and quantum chemistry simulations with hybrid variational quantum algorithm to compute the exciton dynamics in both the single excitation subspace (i.e. Frenkel Hamiltonian) and the full-Hilbert space (i.e. multi-exciton) regimes. Our numerical examples demonstrate the feasibility of our approach, and simulations on IBM Q devices capture the qualitative behaviors of exciton dynamics, but with considerable errors. We present an error mitigation technique that combines experimental results from the variational and Trotter algorithms, and obtain significantly improved quantum dynamics. Our approach opens up new opportunities for modeling quantum dynamics in chemical, biological and material systems with quantum computers.